{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from sklearn import  datasets, cross_validation, ensemble\n",
    "from sklearn.svm import LinearSVR"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 使用sklearn自带的糖尿病数据\n",
    "def load_data():\n",
    "    diabetes = datasets.load_diabetes()\n",
    "    return cross_validation.train_test_split(diabetes.data,diabetes.target,test_size=0.25,random_state=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 不同若回归器对结果的影响\n",
    "def test_AdaBoostRegressor(*data):\n",
    "        X_train,X_test,Y_train,Y_test = data\n",
    "        fig = plt.figure()\n",
    "        fig.set_figheight(10)\n",
    "        fig.set_figwidth(15)\n",
    "\n",
    "        regr = ensemble.AdaBoostRegressor()\n",
    "        regr.fit(X_train,Y_train)\n",
    "        ## 绘图 \n",
    "        ax = fig.add_subplot(211)\n",
    "        estimators_num = len(regr.estimators_)\n",
    "        X = range(1, estimators_num+1)\n",
    "        ax.plot(list(X), list(regr.staged_score(X_train,Y_train)),label='Traing score')\n",
    "        ax.plot(list(X), list(regr.staged_score(X_test,Y_test)),label='Testing score')\n",
    "        ax.set_xlabel('estimator num')\n",
    "        ax.set_ylabel('score')\n",
    "        ax.set_ylim(-1,1)\n",
    "        ax.legend(loc='best')\n",
    "        ax.set_title('AdaBoostRegressor-Decision Tree')\n",
    "        \n",
    "        ## LinearSVR\n",
    "        regr = ensemble.AdaBoostRegressor(base_estimator=LinearSVR(epsilon=0.01,C=100))\n",
    "        regr.fit(X_train,Y_train)\n",
    "        ## 绘图 \n",
    "        ax = fig.add_subplot(212)\n",
    "        estimators_num = len(regr.estimators_)\n",
    "        X = range(1, estimators_num+1)\n",
    "        ax.plot(list(X), list(regr.staged_score(X_train,Y_train)),label='Traing score')\n",
    "        ax.plot(list(X), list(regr.staged_score(X_test,Y_test)),label='Testing score')\n",
    "        ax.set_xlabel('estimator num')\n",
    "        ax.set_ylabel('score')\n",
    "        ax.set_ylim(-1,1)\n",
    "        ax.legend(loc='lower right')\n",
    "        ax.set_title('AdaBoostRegressor-LinearSVR')\n",
    "        \n",
    "        \n",
    "        \n",
    "        plt.show()\n",
    "\n",
    "# 开始测试：\n",
    "X_train,X_test,Y_train,Y_test = load_data()\n",
    "test_AdaBoostRegressor(X_train,X_test,Y_train,Y_test)\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 考虑学习率对结果的影响\n",
    "def test_AdaBoostRegressor_learning_rate(*data):\n",
    "    X_train,X_test,Y_train,Y_test = data\n",
    "    learning_rates = np.linspace(0.01,1)\n",
    "    fig = plt.figure()\n",
    "    fig.set_figheight(5)\n",
    "    fig.set_figwidth(15)\n",
    "    ax = fig.add_subplot(111)\n",
    "    traing_score=[]\n",
    "    testing_score=[]\n",
    "    for learning_rate in learning_rates:\n",
    "        gegr = ensemble.AdaBoostRegressor(learning_rate=learning_rate, n_estimators=500)\n",
    "        gegr.fit(X_train,Y_train)\n",
    "        traing_score.append(gegr.score(X_train,Y_train))\n",
    "        testing_score.append(gegr.score(X_test,Y_test))\n",
    "        \n",
    "    ## 绘图 \n",
    "    ax.plot(learning_rates, traing_score,  label='Traing score')\n",
    "    ax.plot(learning_rates, testing_score, label='Testing score')\n",
    "    ax.set_xlabel('learning_rate')\n",
    "    ax.set_ylabel('score')\n",
    "    ax.legend(loc='best')\n",
    "    ax.set_title('AdaBoostRegressor')    \n",
    "    plt.show()\n",
    "\n",
    "# 开始测试：\n",
    "X_train,X_test,Y_train,Y_test = load_data()\n",
    "test_AdaBoostRegressor_learning_rate(X_train,X_test,Y_train,Y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 损失函数的影响：\n",
    "# 不同若回归器对结果的影响\n",
    "def test_AdaBoostRegressor_loss(*data):\n",
    "        X_train,X_test,Y_train,Y_test = data\n",
    "        fig = plt.figure()\n",
    "        ax = fig.add_subplot(111)\n",
    "        fig.set_figheight(10)\n",
    "        fig.set_figwidth(15)\n",
    "        losses = ('linear','square','exponential')\n",
    "        for loss in losses:\n",
    "            regr = ensemble.AdaBoostRegressor(loss=loss,n_estimators=30)\n",
    "            regr.fit(X_train,Y_train)\n",
    "            ## 绘图 \n",
    "            estimators_num = len(regr.estimators_)\n",
    "            X = range(1, estimators_num+1)\n",
    "            ax.plot(list(X), list(regr.staged_score(X_train,Y_train)),label='{0}:Traing score'.format(loss))\n",
    "            ax.plot(list(X), list(regr.staged_score(X_test,Y_test)),label='{0}:Testing score'.format(loss))\n",
    "        ax.set_xlabel('estimator num')\n",
    "        ax.set_ylabel('score')\n",
    "        ax.legend(loc='best')\n",
    "        ax.set_title('AdaBoostRegressor')\n",
    "        plt.show()\n",
    "\n",
    "# 开始测试：\n",
    "X_train,X_test,Y_train,Y_test = load_data()\n",
    "test_AdaBoostRegressor_loss(X_train,X_test,Y_train,Y_test)\n",
    "        "
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
